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Thoughtful agents.
Useful boundaries.

Notes on training AI agents, computer use, and the boundaries that make agents useful.

From an answer to a decision

Rep“Twelve forklifts for a cold-storage warehouse. Which service contract do I quote?”

Looked up

We offer three service contracts:

  • Basic
  • Plus
  • Full Service

Correct. The rep still has to decide.

Decided

Recommend
Full Service, three years
Why
Cold is hard on batteries and hydraulics. A stopped truck stops the dock.
Would change if
One shift and a spare truck: Plus is enough
Same facts. The difference is judgment.

AI agents · Training & evals

AI agents don’t lack knowledge. They lack judgment.

Most AI agent pilots stall at fact retrieval. What’s missing is your team’s judgment: what to ask, what to recommend, and when to say no. Here’s how to teach it.

The Eager team8 min read
Read the article
Closer to the screen

The spoken relay

“Open Settings…”

  1. 1Explain
  2. 2Interpret
  3. 3Click
  4. 4Describe

“My menu says Preferences.”

Same intent. Different interface.

Work from the actual screen

Sample app · Preferences

Notifications

Choose how this app gets your attention.

Desktop alerts

Off
Checking the updated screen…Stop
  1. See
  2. Act
  3. Check
See the screen. Act within scope. Check what changed.

Computer use · Customer experience

Computer use can end support’s broken telephone

Why computer use is the future of customer support: fewer instructions to translate, shared screen context, and fixes you can actually verify.

The Eager team7 min read
Read the article
A hand on the controls
Agent proposal

Send the diagnostic report

External recipient

Not sent yet

Runtime policy

Sending requires approval.

Ask

Waiting for your approval

The action waits at the runtime checkpoint.

Computer use · Safety & testing

AI agents hacked Hugging Face. Are your guardrails ready?

The Hugging Face AI-agent intrusion is a wake-up call for computer-use safety. Learn why runtime guardrails matter and how evals test whether they hold.

The Eager team9 min read
Read the article